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A New Zero-Inflated Negative Binomial Methodology for Latent Category Identification

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  • Simon Blanchard
  • Wayne DeSarbo

Abstract

We introduce a new statistical procedure for the identification of unobserved categories that vary between individuals and in which objects may span multiple categories. This procedure can be used to analyze data from a proposed sorting task in which individuals may simultaneously assign objects to multiple piles. The results of a synthetic example and a consumer psychology study involving categories of restaurant brands illustrate how the application of the proposed methodology to the new sorting task can account for a variety of categorization phenomena including multiple category memberships and for heterogeneity through individual differences in the saliency of latent category structures. Copyright The Psychometric Society 2013

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  • Simon Blanchard & Wayne DeSarbo, 2013. "A New Zero-Inflated Negative Binomial Methodology for Latent Category Identification," Psychometrika, Springer;The Psychometric Society, vol. 78(2), pages 322-340, April.
    • Handle: RePEc:spr:psycho:v:78:y:2013:i:2:p:322-340
    DOI: 10.1007/s11336-012-9315-z
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    1. Santi, Éverton & Aloise, Daniel & Blanchard, Simon J., 2016. "A model for clustering data from heterogeneous dissimilarities," European Journal of Operational Research, Elsevier, vol. 253(3), pages 659-672.
    2. Rebecca Hamilton & Debora Thompson & Zachary Arens & Simon Blanchard & Gerald Häubl & P. Kannan & Uzma Khan & Donald Lehmann & Margaret Meloy & Neal Roese & Manoj Thomas, 2014. "Consumer substitution decisions: an integrative framework," Marketing Letters, Springer, vol. 25(3), pages 305-317, September.

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